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Patient-specific mathematical models of respiratory mechanics can offer substantial insight into patient state and pulmonary dynamics that are not directly measurable. To assure bedside-applicability, the models must be computationally efficient and practically identifiable from the limited available data, while capturing dominant dynamics. This investigation measures the identifiability of a respiratory model for ARDS patients.

Covariance Analysis for Practical Identifiability of an Alveolar Recruitment Model